As the title says, the post-season odds report was compiled by running a Monte
Carlo simulation of the rest of the season one million times. Current wins,
losses and expected winning percentages are taken from the Adjusted
Standings Report.

Expected winning percentages (EWP) for each team starts with their W3 and L3
from the Adjusted Standings. A regression is applied to derive the EWP for the
rest of the season, which is going to be between the current winning
percentage and .500. To allow for uncertainty in the EWP, a normal
distribution centered on the EWP is randomly sampled, and that value is used
for the remainder of the season in that iteration. To simulate the normal 4%
home-field advantage, the home team gets a .020 point bonus, while the
visitors take a 0.020 penalty. The likelihood of winning each game is
determined by the log5 method.
W and L are the team's wins and losses through yesterday's games.

Pct3 is the expected winning percentage, taken from W3 and L3, with the
regression-to-mean component.

Avg W and Avg L are the average number of wins and losses each team finishes over the million season iterations.

Champions is how often, in percentage terms, this team won the
championship of their division. Ties are not broken, but credited as 0.5
championships apiece (for a two-way tie), .333 apiece for a three-way tie, .25
for four-way, etc. This is why the final decimal place is not an error!

Wild Card is how often, in percentage terms, this team won the wild card. As
with championships, ties are not broken, but apportioned among the tied teams.

Playoffs is how often, in percentage terms, the team either wins the division or the wild card.